Sökning: "Defect Detection"

Visar resultat 1 - 5 av 58 uppsatser innehållade orden Defect Detection.

  1. 1. A comparison between random testing and adaptive random testing

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Nicklas Johansson; Ola Aareskjold; [2023]
    Nyckelord :Adaptive random testing; Random testing; Defect detection efficiency; test case generation time;

    Sammanfattning : Software testing is essential for quality assurance, with automated techniques such as random testing and adaptive random testing being cost-effective solutions compared to others. Adaptive random testing seeks to enhance random testing, and there is a conception that adaptive random testing always should replace random testing. LÄS MER

  3. 2. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Punnawat Siripatthiti; [2023]
    Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

  4. 3. Quality Control: Detect Visual Defects on Products Using Image Processing and Deep Learning

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Isac Pettersson; Johan Skäremo; [2023]
    Nyckelord :Computer vision; Deep learning; image processing; Defect detection; Small object detection;

    Sammanfattning : Computer vision, a prominent subfield of artificial intelligence, has gained widespread util-ization in diverse domains such as surveillance, security, and robotics. This research en-deavors to develop an semi-automated defect detection system serving as a quality controlassurance mechanism for Nolato MediTor, a manufacturing company within the medicaldevice industries engaged in the production of anesthesia breathing bags. LÄS MER

  5. 4. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Toomas Liiv; [2023]
    Nyckelord :anomaly detection; semi-supervision; HSC; DeepSAD; photomasks; anomalidetektion; semi-övervakad; HSC; DeepSAD; fotomasker;

    Sammanfattning : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. LÄS MER

  7. 5. Quality Control in Aluminium Profiles : Non-destructive Methods using Non-linear Ultrasonic

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för maskinteknik

    Författare :Viktor Svensson; Robin Raymundsson; [2023]
    Nyckelord :Acoustic; defect; detection; harmonic; Akustisk; defekt; detektion; överton;

    Sammanfattning : When aluminium profiles are manufactured, defects may arise, especially when theprofiles are manufactured through extrusion. During the extrusion process, thesedefects occur on parts of the extruded material because of contaminates that needto be found. LÄS MER